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across EPFL’s international research network. Profile Master’s degree in environmental engineering, microbiology, chemical engineering, or a related discipline Demonstrated research experience
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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on musculoskeletal biomechanics and mechanobiology across all scales. Project background This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof
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Environments (GLORIA ) and the Mountain Invasion Research Network (MIREN ). Project description The biodiversity crisis is in part driven by invasive species, yet many non-natives are only recognized as invasive
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of this development by exploring innovative approaches. You will be defining and extracting novel types of relations from event and tracking data. To analyze and interpret resulting spatio-temporal networks, you will
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. Our technological focus is thermal energy systems, sustainable carbon feedstock, and CO2 capture, utilization, and storage. Project background To achieve Switzerland’s net-zero climate target by 2050
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, with numerous possibilities for training, networking, and career development are located in Basel. Basel provides a high standard of living and a rich and varied cultural atmosphere. Application
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, with numerous possibilities for training, networking, and career development are located in Basel. Basel provides a high standard of living and a rich and varied cultural atmosphere. Application
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Invasion Research Network (MIREN ). Project description The biodiversity crisis is in part driven by invasive species, yet many non-natives are only recognized as invasive once they are widespread. A key
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opportunities with leading experts in chemical analytics of trace elements, modeling, biogeochemical cycles, and atmospheric processes. Support programmes and networking opportunities such as attending